FPGA-Based Weighted DTW Framework with Hybrid Gait Symmetry Index for Real-Time Wearable Gait Classification.
- DOI
- 10.3390/s26144644
- Published
- 2026-07-22
- Container
- Sensors (Basel)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26144644,
title = {FPGA-Based Weighted DTW Framework with Hybrid Gait Symmetry Index for Real-Time Wearable Gait Classification.},
author = {Vennela K and Balaji B and Chinnaiah MC and Lam SK and Janardhan N and Subramanyam Raju P and Hari Krishna D and Divya Vani G and Basha M.},
year = {2026},
journal = {Sensors (Basel)},
doi = {10.3390/s26144644},
url = {https://doi.org/10.3390/s26144644}
}RIS
TY - JOUR TI - FPGA-Based Weighted DTW Framework with Hybrid Gait Symmetry Index for Real-Time Wearable Gait Classification. AU - Vennela K AU - Balaji B AU - Chinnaiah MC AU - Lam SK AU - Janardhan N AU - Subramanyam Raju P AU - Hari Krishna D AU - Divya Vani G AU - Basha M. PY - 2026 JO - Sensors (Basel) DO - 10.3390/s26144644 UR - https://doi.org/10.3390/s26144644 ER -
APA
K, V., B, B., MC, C., SK, L., N, J., P, S. R., D, H. K., G, D. V., & M., B. (2026). FPGA-Based Weighted DTW Framework with Hybrid Gait Symmetry Index for Real-Time Wearable Gait Classification.. Sensors (Basel). https://doi.org/10.3390/s26144644
Source records
- europe-pmc · retrieved 2026-09-25T06:14:21.397Z
- doaj · retrieved 2026-09-25T06:14:21.384Z